assignmentutor™您的专属作业导师

assignmentutor-lab™ 为您的留学生涯保驾护航 在代写运筹学operational research方面已经树立了自己的口碑, 保证靠谱, 高质且原创的统计Statistics代写服务。我们的专家在代写运筹学operational research代写方面经验极为丰富，各种代写运筹学operational research相关的作业也就用不着说。

• Statistical Inference 统计推断
• Statistical Computing 统计计算
• Advanced Probability Theory 高等概率论
• Advanced Mathematical Statistics 高等数理统计学
• (Generalized) Linear Models 广义线性模型
• Statistical Machine Learning 统计机器学习
• Longitudinal Data Analysis 纵向数据分析
• Foundations of Data Science 数据科学基础

## 统计代写|运筹学作业代写operational research代考|Interval-Valued Neutrosophic Matrices

Let $U=\left{c_{1}, c_{2}, \ldots, c_{m}\right}$ be the universal set, $E=\left{e_{1}, e_{2}, \ldots, e_{n}\right}$ be a set of parameters, and let $A \subseteq E$. A pair $(F, A)$ be an interval neutrosophic soft set over $U$ [3]. Then the subset of $U \times E$ is defined by $R_{A}=\left{(u, e): e \in A, u \in f_{A}(e)\right}$ which is called a relation form of $\left(f_{A}, E\right) . T_{R_{A}}: U \times E \rightarrow[0,1], I_{R_{A}}: U \times E \rightarrow$ $[0,1]$ and $F_{K_{A}}: U \times E \rightarrow[0,1]$ arc truth-membership function, indctcrminacymembership function, and non-membership function, respectively.

It is noted that $T_{R_{A}}(u, e) \in I^{2}, I_{R_{A}}(u, e) \in I^{2}$, and $F_{R_{A}}(u, e) \in I^{2}$. If formed a matrix of $m \times n$. This matrix is called an $m \times n$ interval neutrosophic soft matrix of the interval neutrosophic soft set $\left(F_{A}, E\right)$ over $U$. Set of all $m \times n$ interval neutrosophic soft matrices is denoted by I $\mathcal{N}_{m \times n}$.

The interval neutrosophic matrix is a representation of an interval neutrosophic soft set. To construct an interval valued neutrosophic matrix we need an interval neutrosophic soft set.

The interval neutrosophic matrix can be defined as a general concept as follows. Definition 1 Let $M_{m \times n}(J)=\left{\left[\left\langle\left[T_{i j}^{L}, T_{i j}^{U}\right],\left[I_{i j}^{L}, I_{i j}^{U}\right],\left[F_{i j}^{L}, F_{i j}^{U}\right]\right\rangle\right]{m \times n}\right.$ : $\left.\left\langle\left[T{i j}^{L}, T_{i j}^{U}\right],\left[I_{i j}^{L}, I_{i j}^{U}\right],\left[F_{i j}^{L}, F_{i j}^{U}\right]\right\rangle \in N(J)\right}$, where $J=I^{2} \times I^{2} \times I^{2}$. Any matrix $\hat{A}$ in $M_{m \times n}$ is called an interval neutrosophic matrix (IN-matrix).

From now on we use interval-valued neutrosophic matrix (INV-matrix) instead of interval neutrosophic matrix (IN-matrix).

Some basic concepts and operations of IVN-matrices can be defined with a similar way to interval neutrosophic soft matrices.

## 统计代写|运筹学作业代写operational research代考|Neutrosophic Normal Probability Distribution

The theory of classical statistics is based on two types of statistical methods called descriptive and inferential statistics. The inferential part of statistical methods depends a lot on normal probability distribution for reliable, valid, and powerful inferences of the experiment. Many parametric statistical tests $(z, t, F$, etc.) require the assumption of normality to be filled first before applying them. The assumption of normality means the sampling distribution of test statistic under a parametric test should follow a normal probability distribution or the data under consideration must come from a normal distribution. Failing the normality assumption leads to apply nonparametric tests which are less powerful compared to parametric counterpart. $A$ normal probability distribution is a bell-shaped distribution also known as Gaussian distribution is symmetrical about the mean portraying the numerous observations closer to the mean. The distribution has two parameters, namely, mean $\mu$ and variance $\sigma^{2}$ with probability density function:
$$f(x)=\frac{1}{\sigma \sqrt{2 \pi}} e^{-\frac{1}{2}\left(\frac{x-\mu}{\sigma}\right)^{2}}$$
Although, in classical statistics, the parameters $\mu$ and $\sigma^{2}$ are fixed and exact for a random variable $X$, in many situations, these parameters may vary due to their probable state. This means in situations we are not sure about exact values of one or both of the parameters and their values may vary from one to another value, i.e., in interval form. In such situations, there will be some indeterminacy in the parameter(s) of the distribution, and therefore, we cannot apply the classical normal distribution (1) in solving the relevant problems. One of the applications of normal probability distribution is commonly seen in asset prices data where asset prices are not in exact form and range in an interval form, e.g., the average price of a plot in $\mathrm{ABC}$ society ranges from $10,000 \$$to 12000 \$$ showing that the average price of the plot is not fixed or has single value but varies from$10,000 \$$to 12000 \$$.

## 统计代写|运筹学作业代写operational research代考|Interval-Valued Neutrosophic Matrices

IVN 矩阵的一些基本概念和操作可以用与区间中智软矩阵类似的方式来定义。

## 统计代写|运筹学作业代写operational research代考|Neutrosophic Normal Probability Distribution

$$f(x)=\frac{1}{\sigma \sqrt{2 \pi}} e^{-\frac{1}{2}\left(\frac{x-\mu}{\sigma}\right)^{2}}$$

## 有限元方法代写

assignmentutor™作为专业的留学生服务机构，多年来已为美国、英国、加拿大、澳洲等留学热门地的学生提供专业的学术服务，包括但不限于Essay代写，Assignment代写，Dissertation代写，Report代写，小组作业代写，Proposal代写，Paper代写，Presentation代写，计算机作业代写，论文修改和润色，网课代做，exam代考等等。写作范围涵盖高中，本科，研究生等海外留学全阶段，辐射金融，经济学，会计学，审计学，管理学等全球99%专业科目。写作团队既有专业英语母语作者，也有海外名校硕博留学生，每位写作老师都拥有过硬的语言能力，专业的学科背景和学术写作经验。我们承诺100%原创，100%专业，100%准时，100%满意。

## MATLAB代写

MATLAB 是一种用于技术计算的高性能语言。它将计算、可视化和编程集成在一个易于使用的环境中，其中问题和解决方案以熟悉的数学符号表示。典型用途包括：数学和计算算法开发建模、仿真和原型制作数据分析、探索和可视化科学和工程图形应用程序开发，包括图形用户界面构建MATLAB 是一个交互式系统，其基本数据元素是一个不需要维度的数组。这使您可以解决许多技术计算问题，尤其是那些具有矩阵和向量公式的问题，而只需用 C 或 Fortran 等标量非交互式语言编写程序所需的时间的一小部分。MATLAB 名称代表矩阵实验室。MATLAB 最初的编写目的是提供对由 LINPACK 和 EISPACK 项目开发的矩阵软件的轻松访问，这两个项目共同代表了矩阵计算软件的最新技术。MATLAB 经过多年的发展，得到了许多用户的投入。在大学环境中，它是数学、工程和科学入门和高级课程的标准教学工具。在工业领域，MATLAB 是高效研究、开发和分析的首选工具。MATLAB 具有一系列称为工具箱的特定于应用程序的解决方案。对于大多数 MATLAB 用户来说非常重要，工具箱允许您学习应用专业技术。工具箱是 MATLAB 函数（M 文件）的综合集合，可扩展 MATLAB 环境以解决特定类别的问题。可用工具箱的领域包括信号处理、控制系统、神经网络、模糊逻辑、小波、仿真等。

assignmentutor™您的专属作业导师
assignmentutor™您的专属作业导师